NOTE: The material in this repo has been completely superceded by other work. I will leave this repo up because my thesis directs readers to it, but for those interested in the code, an improved and cleaner version is implemented in the charinet package; while for those interested in the data, this has been implemented for some time in the movienetdata package. The only thing contained here which is not better represented elsewhere is the notebook reproducing the analysis in the Wonder Woman paper.
A repository for sharing data, tools and info related to my research on using character interaction networks to examine gendered character positions in popular film narratives.
As I prepared my doctoral thesis on what a network-based approach can add to our understanding of the narrative marginalisation of women in mainstream Hollywood cinema, I developed this repo as a set of supplementary materials that I could refer to in the thesis for the code and data.
I prepared the materials in the form of R notebooks, which R users can run themselves, and HTML versions of those notebooks. I focused on recreating the kind of pipeline that I used after collecting character interaction data to read those data into R and summarise and visualise them. I also reproduced the analysis in a paper I published in Feminist Media Studies analysing the distribution of dialogue in the film Wonder Woman (2017). That paper serves as a nice intro to my research, but didn’t provide any data or reproducible code.
Here are the notebooks I created:
| Notebook | HTML | Notes |
|---|---|---|
| 01-FilmPipeline | HTML | An interactive notebook walking through the development of a simple pipeline for reading in the raw data, summarising and plotting the character interaction networks (all in R). |
| 02-WonderWoman-paper | HTML | An interactive notebook walking through and reproducing the analysis from the 2018 Wonder Woman paper. |
| 03-WonderWoman-text | HTML | An interactive notebook walking through some additional text analysis which isn’t in the 2018 paper but adds some additional analysis to the discussion. |
| 04-DynamicCentrality |
Next steps:
I will add a notebook containing the implementation of the dynamic narrative centrality measure I have presented at a number of recent conferences.See this blog post.I will add the remaining data I have collected throughout my thesis.See movienetdata.I will improve the code and package-ify everything I’ve done to make it easier to use.See charinet.
Let me know if I can be of any help.
E-mail: pete@petejon.es Twitter: @pj_mcr
This
work is licensed under a
Creative
Commons Attribution-NonCommercial-ShareAlike 4.0 International
License.
